Search
Now showing items 11-20 of 23
Emotional ANN (EANN): a new generation of neural networks for hydrological modeling in IoT
(Springer Nature Switzerland AG, 2019)
Emotional artificial neural network (EANN) is a cutting-edge artificial intelligence method that has been used by researchers in the engineering and medical sciences over the recent years. First introduced in the 1999s, ...
Cyprus water supply project: features and outcomes
(13th International Congress on Advances in Civil Engineering, 2018)
Cyprus Island has very limited water resources. Recently, this problem has rather been resolved by transferring water from Turkey to the island known as Cyprus Water Supply Project (CWSP). The CWSP is comprised of three ...
A genetic programming approach to forecast daily electricity demand
(Springer Nature Switzerland AG, 2019)
A number of recent researches have compared machine learning techniques to find more reliable approaches to solve variety of engineering problems. In the present study, capability of canonical genetic programming (GP) ...
Investigating the effect of hydroclimatological variables on Urmia Lake water level using wavelet coherence measure
(IWA Publishing, 2019)
In this paper, wavelet transform coherence is implemented to examine the impacts of hydroclimatological variables on water level fluctuations in two large saline lakes in the Middle East with a similar geographical location, ...
Trend analysis of hydroclimatological variables in Urmia lake basin using hybrid wavelet Mann–Kendall and Şen tests
(Springer-Verlag, 2018)
This paper investigates monthly, seasonal, and annual trends in rainfall, streamflow, temperature, and humidity amounts at Urmia lake (UL) basin and analyzes the interaction between these variables and UL’s water level ...
Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling
(Springer Netherlands, 2018)
Genetic programming (GP) is recognized as a robust machine learning method for rainfall-runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of runoff series is not taken carefully into ...
Chaos-based multigene genetic programming: a new hybrid strategy for river flow forecasting
(Elsevier, 2018)
Chaos theory is integrated with Multi-Gene Genetic Programming (MGGP) engine as a new hybrid model for river flow forecasting. This is to be referred to as Chaos-MGGP and its performance is tested using daily historic flow ...
Modern soft computing techniques and their applications in civil engineering
(12th International Scientific Conference, 2019)
Soft computing (SC) is a group of technigues and methodologies applied to solve a wide range of problems spread in several areas of science. The aim is to exploit tolerance for imprecision, uncertainiy and partial truth ...
Principals of planning and realization of greater melen water supply project, Turkey
(4th International conference on Civil and environmental Geology and Mining Engineering, 2019)
The Greater Melen water supply Project (GMP) is a large-scale interbasin freshwater transfer project that provides domestic and industrial water requirements of Istanbul. Its foster resource is Melen River, lying in D zce ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)
It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ...
